Aperiodic Optimal Linear Estimation for Networked Systems With Communication Uncertainties
研究了网络系统中存在时延和数据丢失时的非周期最优线性估计问题，提出了两种基于测量融合的估计器设计方法，并证明新提出的测量重传方案比常用方案性能更优。
The aperiodic optimal linear estimator design problem is investigated in this paper for networked systems with communication uncertainties, including delays and data losses, where the sampling and estimation are nonuniform and asynchronous. Based on the idea of measurement fusion, two approaches are proposed to design the aperiodic estimators, and it is shown that the estimator is equivalent to that designed by the measurement augmentation method in performance. Moreover, the estimation performance is improved by using a newly proposed measurement retransmission scheme as compared with the commonly used hold-input and zero-input schemes, by which the lost measurements are never used once they are lost.